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I would like to use excel for outlier analysis removal - to calculate a
mean of a range but not include or change values that are 2 or 3 standard deviations above or below the mean. Excel has a trimmedmean function but outlier removal based on the above criteria is considered better for normally distributed data. I found these formula posted before on this forum. They don't include values 2 SD above or below the mean. And they work! =AVERAGE(IF((ABS(rng-AVERAGE(rng)))(2*STDEV(rng)), "", rng)) =TRIMMEAN(Rng,COUNTIF(Rng,""&(AVERAGE(Rng)+2*STDE VP(Rng)))/COUNT(Rng)) I also need to know how many data points were "removed", and then report that as a percentage, and couldn't figure out to that (bearing in mind they could be missing data points). An alternative method of outlier analysis is to: a. replace outliers with the 2 standard deviations above or below value b. replace outliers with the mean Any suggestions on how to do these things would be gratefully received. |
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